PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

44.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (11 utterances, 67 words searched).

  1. happy birthday to Stephanie, happy birthday to you . MOT · bilingual_eng_french_Watkins/c1zan03.cha, line 22 · Christophe 3;00
  2. <now I expect Stephanie wants a piece of cake doesn't she > [<]? MOT · bilingual_eng_french_Watkins/c1zan03.cha, line 24 · Christophe 3;00
  3. you're going to have some cake Stephanie aren't you ? MOT · bilingual_eng_french_Watkins/c1zan03.cha, line 33 · Christophe 3;00
  1. GRAgo and see her then .
    MOTokay on me bumble bell [?] .
    MOT*MOT: happy birthday to Stephanie, happy birthday to you .
    CHI<happy birthday to you> [>] .
    MOT<now I expect Stephanie wants a piece of cake doesn't she > [<]?
  2. MOThappy birthday to Stephanie, happy birthday to you .
    CHI<happy birthday to you> [>] .
    MOT*MOT: <now I expect Stephanie wants a piece of cake doesn't she > [<]?
    CHIxxx xxx xxx .
    MOTthe cake is so hot that the sugar's going brown .
  3. FATsit down .
    MOTxx xx for a moment and I'll give you a piece of cake .
    MOT*MOT: you're going to have some cake Stephanie aren't you ?
    CHIaren't you ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Christophe bilingual_eng_french_Watkins44.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c1zan03.chaChristophe 3;0.15673344.78

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. stephanie3 · 100.0%